AJR
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kodama, Y.
Right arrow Articles by Charnsangavej, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kodama, Y.
Right arrow Articles by Charnsangavej, C.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Hotlight (NEW!)
Right arrow
What's Hotlight?

Comparison of CT Methods for Determining the Fat Content of the Liver

Yoshihisa Kodama1, Chaan S. Ng1, Tsung T. Wu2, Gregory D. Ayers3, Steven A. Curley4, Eddie K. Abdalla4, Jean Nicolas Vauthey4 and Chusilp Charnsangavej1

1 Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Blvd., Box 368, Houston TX 77030.
2 Department of Pathology, The University of Texas M. D. Anderson Cancer Center, Houston TX.
3 Department of Biostatistics and Applied Mathematics, University of Texas M. D. Anderson Cancer Center, Houston TX.
4 Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston TX.


Figure 1
View larger version (20K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1A —Regions of interest for measurement of attenuation. Sectors and borders are defined with modification of Couinaud segmentation system. Dashed lines indicate borders between sectors. RHV = right hepatic vein, MHV = middle hepatic vein, IVC = inferior vena cava. Schematic shows level of confluence of right hepatic vein. LHV = left hepatic vein.

 

Figure 2
View larger version (20K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1B —Regions of interest for measurement of attenuation. Sectors and borders are defined with modification of Couinaud segmentation system. Dashed lines indicate borders between sectors. RHV = right hepatic vein, MHV = middle hepatic vein, IVC = inferior vena cava. Schematic shows level of umbilical portion (UP) of left portal vein.

 

Figure 3
View larger version (20K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1C —Regions of interest for measurement of attenuation. Sectors and borders are defined with modification of Couinaud segmentation system. Dashed lines indicate borders between sectors. RHV = right hepatic vein, MHV = middle hepatic vein, IVC = inferior vena cava. Schematic shows level of posterior branch of right portal vein (PPV). APV = anterior branch of right portal vein.

 

Figure 4
View larger version (130K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2A —64-year-old woman with liver metastasis. Dashed lines indicate borders between sectors. IVC = inferior vena cava. CT scan corresponding to 1A shows regions of interest at level of confluence of right hepatic vein.

 

Figure 5
View larger version (130K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2B —64-year-old woman with liver metastasis. Dashed lines indicate borders between sectors. IVC = inferior vena cava. CT scan corresponding to 1B shows regions of interest at level of umbilical portion of left portal vein.

 

Figure 6
View larger version (134K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2C —64-year-old woman with liver metastasis. Dashed lines indicate borders between sectors. IVC = inferior vena cava. CT scan corresponding to 1C shows regions of interest at level of posterior branch of right portal vein.

 

Figure 7
View larger version (11K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3A —Fat content versus attenuation. Graph shows results for unenhanced CT images. Solid line indicates predictive equation for pathologic fat content given attenuation of resected portion of liver. Pathologic fat content = exp[-exp(-1.915 + 0.051 x resected-liver attenuation)]. Dashed lines indicate upper and lower 90% bounds of pathologic fat content.

 

Figure 8
View larger version (11K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3B —Fat content versus attenuation. Graph shows results for contrast-enhanced CT images. Solid line indicates predictive equation for pathologic fat content given attenuation of resected portion of liver. Pathologic fat content = exp[-exp(-1.781 + 0.024 x resected-liver attenuation)]. Dashed lines indicate upper and lower 90% bounds of pathologic fat content.

 

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2007 by the American Roentgen Ray Society.